Modeling the demand for goods using machine learning methods

Authors

  • M.M. Kamilov Scientific Research Institute for the Development of Digital Technologies and Artificial Intelligence
  • M.Kh. Khudayberdiev Tashkent University of Information Technologies named after Muhammad al-Khwarizmi.
  • О.S. Alimjanova Tashkent University of Information Technologies named after Muhammad al-Khwarizmi

Keywords:

linear regression, demand forecasting, data analysis, electronic commerce, variable dependence, machine learning, modeling efficiency

Abstract

This article investigates the process of modeling demand for goods using machine learning methods. Each method is evaluated based on forecast accuracy, adaptability to market changes, and training time. The aim of the research is to determine the most effective method for forecasting demand for goods.

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Published

2024-05-03

How to Cite

Kamilov, M. ., Khudayberdiev , M. ., & Alimjanova О. . (2024). Modeling the demand for goods using machine learning methods. Miasto Przyszłości, 48, 19–21. Retrieved from https://miastoprzyszlosci.com.pl/index.php/mp/article/view/3398

Issue

Vol. 48 (2024): Miasto Przyszłości

Section

Articles